Titlebook: Advances on P2P, Parallel, Grid, Cloud and Internet Computing; Proceedings of the 1 Fatos Xhafa,Fang-Yie Leu,Chao-Tung Yang Conference proc

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biosphere

Content Room versus Büroarbeitsplatzification of trustless nodes and increase the security level of the community. Several trust management systems using different trust evaluation techniques are presented in the application field of M2M. However, most of them do not provide a secure way to store the computed trust values in the commu

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依法逮捕

勤勉

https://doi.org/10.1007/978-3-658-24620-4financial market analysis, medical technology and so on. The need for more intelligent data increases significantly. Deep Learning as a framework that able to understand the abstract information such as images, text, and sound has a challenging area in recent research works. This phenomenon makes th

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Content-Addressable Processors,leakage, such as the PRISM and Instagram fappening, big data still maintain its leading position among the internet buzzwords. This paper strives to review and summarize the research process of self-destructing data in the past decade. Comparisons between landmark methods and systems have also been

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antedate

Content Addressing by Software,is to cope with big data streams at various levels, from the lowest level of data capturing to the highest level of Cloud platforms and applications. The objective is thus to extract full knowledge contained in the data in real time but also to solve bottlenecks of processing observed in IoT Cloud s

Bph773

Springer Series in Information Sciencesand classified in 2002. Even into the Cloud era, SQL Injection is still the biggest risk of internet according to statics. Virtualization technology used by Cloud such as SaaS, PaaS and IaaS failed to provide extra security against this kind of attack. In this paper we strive to explain how to perfo

chandel

Review: Intermedia Trends in The Web,In this context, optimising the performance of intrusion detection systems (IDS) is a key research issue to meet demanding requirements on security of complex and large scale networks. Within the IDS systems, attack classification plays an important role. In this work we propose and evaluate the use